dists.2frames {calibrator} | R Documentation |
Distance between points specified by rows of two matrices, according to a positive definite matrix. If not specified, the second matrix used is the first.
dists.2frames(a, b=NULL, A=NULL, A.lower=NULL, test.for.symmetry=TRUE)
a |
First dataframe whose rows are the points |
b |
Second dataframe whose rows are the points; if |
A |
Positive definite matrix; if |
A.lower |
The lower triangular Cholesky decomposition of
If a value for |
test.for.symmetry |
Boolean, with default |
Robin K. S. Hankin
M. C. Kennedy and A. O'Hagan 2001. Bayesian calibration of computer models. Journal of the Royal Statistical Society B, 63(3) pp425-464
M. C. Kennedy and A. O'Hagan 2001. Supplementary details on Bayesian calibration of computer models, Internal report, University of Sheffield. Available at http://www.tonyohagan.co.uk/academic/ps/calsup.ps
R. K. S. Hankin 2005. Introducing BACCO, an R bundle for Bayesian analysis of computer code output, Journal of Statistical Software, 14(16)
data(toys)
dists.2frames(a=D2.toy,A=diag(2))
A <- diag(2) + matrix(0.2,2,2)
A.lower <- t(chol(A))
jj.1 <- dists.2frames(a=D2.toy, A=A, test=TRUE)
jj.2 <- dists.2frames(a=D2.toy, A=A, test=FALSE)
jj.3 <- dists.2frames(a=D2.toy, A.lower=A.lower, test=FALSE)
jj.4 <- dists.2frames(a=D2.toy, A.lower=A.lower, test=TRUE)